data governance processes and procedures simply stream money and data between different functions, departments and business entities; they also feed reports, tests and controls that help managers become more proactive. Are sensitive transaction processes properly segregated and monitored? How flawless is the revenue recognition process? Will business decisions still make sense after a spike in oil prices, a bank failure or a drop in demand? The best processes flag these and other risks, helping managers to make informed decisions and ensuring
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data governance processes and procedures and to protect sensitive data with the right security and authorization techniques; continuously monitor, test, and document the efficacy of internal controls, and to validate and reconcile data for compliant reporting; tighten critical business processes and close gaps that could jeopardize compliance with the US Sarbanes-Oxley Act (SOX), Occupational Safety and Health Administration (OSHA), Food and Drug Administration (FDA), and other regulations; and comply with both domestic and international
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data governance processes and procedures Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path
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data governance processes and procedures it easy to compile data for a comprehensive perspective on overall exposure, monitor compliance and risk effectively, and adjust business processes to meet changing business and regulatory mandates. This paper explains SAP's vision for a cross-enterprise GRC solution and the benefits it can provide, defines key terms, and discusses what to look for when evaluating GRC software options. It also discusses how SAP is evolving the SAP® solutions for governance, risk, and compliance (SAP solutions for GRC)
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data governance processes and procedures the Burden of Big Data Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data infrastructure to meet this new pressure. Advances in server hardware and application design have led to a potential solution: in-memory computing. Read Aberdeen's Analyst Insight report and see how in-memory computing can address two of the three Vs of big data.
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data governance processes and procedures Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data
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data governance processes and procedures Now: IT Management and Governance IT management and governance systems have entered the mainstream, joining enterprise resource planning, customer relationship management, human resources, and e-mail as part of the standard enterprise applications landscape. This has led to fundamental changes for leading chief information officers: their first consideration is now to make sure their own organization is systemically supported before systemically improving their customers’ organizations.
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Data Management and AnalysisFrom a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data governance processes and procedures perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most
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data governance processes and procedures Ceiling-Ducted Air Containment in Data Centers Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center. Typical approaches include ducting either individual racks or entire hot aisles and may be passive (ducting only) or active (include fans). This paper examines available ducting options and explains how such systems should be deployed and operated. Practical cooling limits are established and
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data governance processes and procedures Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business
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data governance processes and procedures the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
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data governance processes and procedures BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.
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New Data Protection StrategiesOne of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data governance processes and procedures Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.
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data governance processes and procedures Software Releases Axio Data Integration Product Evoke Software Releases Axio Data Integration Product M. Reed - June 27, 2000 Event Summary Evoke Software has created a new product based on their existing Migration Architect product. It will be known as Axio and is designed to provide rapid e-business integration with existing corporate operational systems, new e-commerce applications, customer relationship management, and/or data warehousing. Axio is designed to automatically discover information in
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